The Headquarters for Earthquake Research Promotion (HERP) commonly uses two methods to estimate a crustal earthquake magnitude, one of which is the rupture area-based model based on its rupture area and the other is based on its fault length. Each model incorporates uncertainties related to fault characterization (HERP, 2017a). The rupture area-based model is used on a combination of scaling relations, called “3 stage scaling model” (e.g., Irikura and Miyake, 2011), in which an accurate magnitude can be estimated. However, there could be so much uncertainty about fault width obtained from fault dipping angle and seismogenic layer thickness, which makes it difficult to calculate an appropriate rupture area. On the other hand, fault length is the sole independent variable needed for the length-based model. This model does not take its fault width into account, thus it is thought that this model could lead to overestimation or underestimation of the magnitude.
In this study, we performed multiple regression analysis to determine the relationships between rupture parameters and earthquake magnitude with an intermediate model between the above two HERP models using a qualitative parameter of fault type. We hypothesized that the relationship between the rupture area and the magnitude could be modeled easily by its fault length and its fault type, which can be both acquired from tectonic geomorphological surveys. The obtained multiple regression coefficients were consistent with the general understanding of fault mechanics and geometry. We then compared the outcomes of our multiple regression analysis with the results indicated by Irikura and Miyake (2001) and Matsuda (1975), which are adopted in HERP (2017a) for the second stage of earthquake scaling. All results were generally consistent if the fault type in their regression data and newly obtained empirical relationship between Mw and MJ are considered. The multiple regression equation proposed in this study is valuable as a simple intermediate model that bridges the two models used in HERP (2017a) by incorporating the difference of fault types into earthquake magnitude estimation.
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